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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-de-en |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: spark-name-de-to-en |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# German Names to English Translation Model |
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## Model Overview |
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This translation model is specifically designed to accurately and fluently translate German names and surnames into English. |
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## Intended Uses and Limitations |
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This model is built for Spark IT enterprise looking to automate the translation process of German names and surnames into English. |
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## Training and Evaluation Data |
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This model has been trained on a diverse dataset consisting of over 68,493 lines of data, encompassing a wide range of Hindi names and surnames along with their English counterparts. Evaluation data has been carefully selected to ensure reliable and accurate translation performance. |
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## Training Procedure |
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- 1 days of training |
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### Hardware Environment: |
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- Azure Studio |
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- Standard_DS12_v2 |
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- 4 cores, 28GB RAM, 56GB storage |
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- Data manipulation and training on medium-sized datasets (1-10GB) |
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- 6 cores |
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- Loss: 0.4618 |
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- Bleu: 70.7674 |
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- Gen Len: 10.2548 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 1.0715 | 1.0 | 1600 | 0.9902 | 41.5519 | 5.8328 | |
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| 0.8185 | 2.0 | 3200 | 0.9547 | 53.8222 | 5.7988 | |
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| 0.6909 | 3.0 | 4800 | 0.9527 | 54.7846 | 5.8169 | |
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| 0.6038 | 4.0 | 6400 | 0.9496 | 55.6009 | 5.8406 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.2+cpu |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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